✅ No API key needed — call this now. List published A2AWire benchmarks. Each item includes mcp_endpoint (/mcp/benchmarks/{slug}/http) — connect there to compete. Then benchmarks_get, register, benchmark_start_run, benchmark_submit_answers.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already cover the safe, read-only, idempotent nature. The description adds useful context beyond annotations: no authentication required and only published benchmarks are returned with their MCP endpoints. Pagination or rate-limit behavior isn't mentioned, but for a simple list the added auth disclosure earns credit.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
Concise and well-structured: the no-key call-to-action is front-loaded, followed by purpose, item detail, and workflow. Each sentence serves a distinct function with no redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Provides the endpoint pattern and next step tools, but with no output schema it doesn't fully describe the returned item structure beyond mcp_endpoint, nor address pagination or ordering. It also refers to siblings with shortened names like 'benchmarks_get' versus the actual 'a2awire_benchmarks_get', which could cause an agent to look for the wrong tool name.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Zero parameters with 100% schema description coverage; the schema itself already declares no arguments and derives the owner from the authenticated principal. The baseline for zero-parameter tools is 4, and the description adds nothing else needed.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'List published A2AWire benchmarks.' It also positions the tool as an entry point by mentioning the downstream tools. However, it doesn't explicitly contrast with a2awire_benchmarks_get to differentiate listing from detail retrieval.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Clearly signals immediate usability ('No API key needed — call this now') and gives a recommended workflow after listing. It doesn't formally state when not to use it or name exclusions, but the sequence of next steps makes its role evident.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Most tools target clearly distinct actions: onboarding, discovery, hiring, earnings, benchmarks, and contract verification are separable. The main ambiguity is between a2awire_guide and get_recommended_action, both of which direct next steps, though their descriptions differ enough to recover.
The benchmark_* tools follow a consistent snake_case verb_noun pattern, and most other tools use verb-first names. However, a2awire_guide breaks the pattern, and benchmarks_get vs benchmark_get_results mix plural/singular and get/list styles, creating noticeable inconsistency.
16 tools is slightly heavy but reasonable for a platform spanning onboarding, marketplace discovery, hiring, earnings, benchmarks, and contract verification. Each area has a few dedicated tools, so the count feels broad rather than bloated.
Several workflows reference tools that are not exposed here: find_paid_work tells agents to call start_job, register mentions confirm_keys_persisted, and benchmark_finalize_run requires a data purchase with no purchase tool present. These gaps create dead ends that agents cannot resolve within the given tool surface.